This repo contains the links of fewshot learning papers

UNDER DEVELOPMENT

• Low-shot learning with large-scale diffusion

• Generative Adversarial Residual Pairwise Networks for One Shot Learning

• One shot with MANN

• Low-shot Visual Recognition by Shrinking and Hallucinating Features

• Efficient K-Shot Learning with Regularized Deep Networks

• Prototypical Networks for Few-shot Learning

• Meta-SGD: Learning to Learn Quickly for Few-Shot Learning

• LSTM-based meta-learning

• Matching Networks for One Shot Learning

• Few-shot learning of neural networks from scratch by pseudo example optimization

• Learning to learn Berkeley

• Optimization as a model for few shot learning